Title

Utilization Of Sample Weights In Single-Level Structural Equation Modeling

Keywords

Complex samples; Design effect adjusted weights; Design-based approach; Latent variable modeling; Sample weights; Structural equation modeling

Abstract

ABSTRACT. Complex survey designs often employ multistage cluster sampling designs and oversample particular units to ensure more accurate population parameter estimates. These issues must be accommodated in the analysis to ensure accurate parameter estimation. Incorporation of sample weights in some statistical procedures has been studied. However, research on the behavior of sample weights on estimates, standard errors, and fit measures in latent variable models is negligible, and studies examining methodology on latent variable modeling applications using extant data are rare. Using the Beginning Postsecondary Students Longitudinal Study 1990/92/94, the authors found, with mixed results, that a statistically significant difference exists in estimates and fit indices when weights and designs are applied versus when they are ignored. © 2006 Taylor & Francis Group, LLC.

Publication Date

1-1-2006

Publication Title

Journal of Experimental Education

Volume

74

Issue

2

Number of Pages

161-190

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.3200/JEXE.74.2.161-190

Socpus ID

33751034102 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33751034102

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